More Reading



#Submission Guidelines#
Get Your Paper Seen by More People
How can we ensure that more quality content reaches readers quickly and reduces their search costs for high-quality content? The answer is: people you don’t know.
There are always some people you don’t know who know what you want to know. PaperWeekly may serve as a bridge, facilitating collisions of ideas and academic inspiration from scholars of different backgrounds and directions, sparking more possibilities.
PaperWeekly encourages university labs or individuals to share various quality content on our platform, which can be latest paper interpretations, learning insights, or technical tips. Our only goal is to let knowledge flow.
📝 Submission Standards:
• Submissions must be original works by the individual, and author information (name + school/work unit + degree/position + research direction) must be included.
• If the article has been published elsewhere, please mention it during submission and include all published links.
• PaperWeekly assumes every article is a first publication and will add an “original” label.
📬 Submission Email:
• Submission email: [email protected]
• All article images should be sent separately as attachments.
• Please leave immediate contact information (WeChat or phone) so we can communicate with the author during editing and publishing.
🔍
Now, you can also find us on “Zhihu”
Search for “PaperWeekly” on the Zhihu homepage.
Click “Follow” to subscribe to our column.
About PaperWeekly
PaperWeekly is an academic platform that recommends, interprets, discusses, and reports on cutting-edge AI research papers. If you are researching or working in the AI field, feel free to click “Group Chat” in the WeChat public account backend, and our assistant will bring you into the PaperWeekly group chat.